Sensing using ubiquitous wireless communication infrastructure
Abstract/Contents
- Abstract
- An estimated 12 billion connected devices exist today and this number is expected to grow to 30 billion by 2020. These connected devices will be used to control everyday objects like thermostat, light bulb, or even our coffee machines. Sensors and network connectivity are two very important enablers for these devices. Most of these devices will be connected via ubiquitous wireless networks like WiFi, Bluetooth, and ZigBee. Despite their widespread deployment, these wireless networks so far have been used solely for the purpose of transferring digital data between radios. In this thesis, we will describe how we can overload functionalities to these ubiquitous wireless networks by adding novel sensing modalities into them. We first describe the design and implementation of a localization system that can pinpoint radios to sub-meter accuracy in an indoor environment. This system provides localization by simply analyzing the wireless signal that is used for communication. Such a localization system can help network managers to identify and locate unauthorized interferers. At the same time, such a localization technique can also enable navigation of large indoor spaces like airports and malls using smartphones. Next, we describe a technique that allows a wireless Access Point (AP) to detect and analyze reflections of wireless signal from its own transmission. In particular, we demonstrate how it enables a WiFi AP to trace human motion by simply listening to and analyzing reflections from its own transmission. But this technique also has many more applications beyond motion tracing. As an example, we describe design and implementation of a system which allows us to passively read data from Internet of Things (IoT) sensors using ambient WiFi signals. Such a system can prolong life of battery operated sensors or even pave path for RF powered sensors in the future.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2016 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Joshi, Kiran Raj |
|---|---|
| Associated with | Stanford University, Department of Electrical Engineering. |
| Primary advisor | Katti, Sachin |
| Thesis advisor | Katti, Sachin |
| Thesis advisor | Montanari, Andrea |
| Thesis advisor | Wetzstein, Gordon |
| Advisor | Montanari, Andrea |
| Advisor | Wetzstein, Gordon |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Kiran Raj Joshi. |
|---|---|
| Note | Submitted to the Department of Electrical Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2016. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2016 by Kiran Raj Joshi
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
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